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| <a href="graph__fully__connected_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="_graph_8h.xhtml">arm_compute/graph.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="_toolchain_support_8h.xhtml">support/ToolchainSupport.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_accessor_8h.xhtml">tests/NEON/Accessor.h</a>"</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_validation_8h.xhtml">tests/validation/Validation.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="_fully_connected_layer_8h.xhtml">tests/validation/reference/FullyConnectedLayer.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="_permute_8h.xhtml">tests/validation/reference/Permute.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="_common_graph_options_8h.xhtml">utils/CommonGraphOptions.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="_graph_utils_8h.xhtml">utils/GraphUtils.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="utils_2_utils_8h.xhtml">utils/Utils.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="_validate_example_8h.xhtml">ValidateExample.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="graph__validate__utils_8h.xhtml">graph_validate_utils.h</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include <utility></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a>;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a>;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a>;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a>;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml">arm_compute::test::validation</a>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> {<span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment">/** Fully connected command line options used to configure the graph examples</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> *</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * (Similar to common options)</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * The options in this object get populated when "parse()" is called on the parser used to construct it.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * The expected workflow is:</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> *</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> * CommandLineParser parser;</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * CommonOptions options( parser );</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> * parser.parse(argc, argv);</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> */</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">class </span>FullyConnectedOptions final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml">CommonGraphValidateOptions</a></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">explicit</span> FullyConnectedOptions(<a class="code" href="classarm__compute_1_1utils_1_1_command_line_parser.xhtml">CommandLineParser</a> &<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>) noexcept</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  : <a class="code" href="classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml">CommonGraphValidateOptions</a>(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>),</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  width(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"width"</span>, 3)),</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  batch(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"batch"</span>, 1)),</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  input_scale(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<float></a>>(<span class="stringliteral">"input_scale"</span>, 1.0f)),</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  input_offset(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"input_offset"</span>, 0)),</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  weights_scale(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<float></a>>(<span class="stringliteral">"weights_scale"</span>, 1.0f)),</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  weights_offset(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"weights_offset"</span>, 0)),</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  output_scale(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<float></a>>(<span class="stringliteral">"output_scale"</span>, 1.0f)),</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  output_offset(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"output_offset"</span>, 0)),</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  num_outputs(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<int></a>>(<span class="stringliteral">"num_outputs"</span>, 1)),</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  input_range_low(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"input_range_low"</span>)),</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  input_range_high(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"input_range_high"</span>)),</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  weights_range_low(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"weights_range_low"</span>)),</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  weights_range_high(<a class="code" href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">parser</a>.add_option<<a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption<uint64_t></a>>(<span class="stringliteral">"weights_range_high"</span>))</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  width->set_help(<span class="stringliteral">"Set Input dimension width"</span>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  batch->set_help(<span class="stringliteral">"Set Input dimension batch"</span>);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  input_scale->set_help(<span class="stringliteral">"Quantization scale from QASYMM8"</span>);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  input_offset->set_help(<span class="stringliteral">"Quantization offset from QASYMM8"</span>);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  weights_scale->set_help(<span class="stringliteral">"Quantization scale from QASYMM8"</span>);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  weights_offset->set_help(<span class="stringliteral">"Quantization offset from QASYMM8"</span>);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  output_scale->set_help(<span class="stringliteral">"Quantization scale from QASYMM8"</span>);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  output_offset->set_help(<span class="stringliteral">"Quantization offset from QASYMM8"</span>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  num_outputs->set_help(<span class="stringliteral">"Number of outputs."</span>);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  input_range_low->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  input_range_high->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  weights_range_low->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  weights_range_high->set_help(<span class="stringliteral">"Lower bound for input randomization range"</span>);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"></span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> /** Fill out the supplied parameters with user supplied parameters</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> *</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> * @param[out] os Output stream.</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> * @param[in] common_params Example parameters to output</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> *</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> * @return None.</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> */</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">void</span> consume_parameters(<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml">ExampleParams</a> &common_params)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">width</a> = width->value();</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad1793c1a8dd3db1a8c4e2d76eadf0036">batch</a> = batch->value();</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(input_scale->value(), input_offset->value());</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a> = input_range_low->value();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a> = input_range_high->value();</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(weights_scale->value(), weights_offset->value());</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a> = weights_range_low->value();</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a> = weights_range_high->value();</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ab6692d047db2f0c872e4dfc55f958533">output</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> = <a class="code" href="classarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>(output_scale->value(), output_offset->value());</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a> = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">data_type</a>->value();</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a901823eca780b42971295d670ca93a89">fully_connected</a>.<a class="code" href="structarm__compute_1_1utils_1_1_fully_connected_params.xhtml#a8473cdd04f05bb326d412a61e32c77cb">num_outputs</a> = num_outputs->value();</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">void</span> print_parameters(::std::ostream &os, <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml">ExampleParams</a> &common_params)<span class="keyword"> override</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  os << <span class="stringliteral">"Threads : "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ae5f124b6706064b8b8a507d1b8967ab8">common_params</a>.<a class="code" href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a4f987a98d3e1221916748962e45399fe">threads</a> << std::endl;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  os << <span class="stringliteral">"Target : "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ae5f124b6706064b8b8a507d1b8967ab8">common_params</a>.<a class="code" href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a29d9bc83bfba2fba21af47e575569dde">target</a> << std::endl;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  os << <span class="stringliteral">"Data type : "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a> << std::endl;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  os << <span class="stringliteral">"Input dimensions(X,Y, Channels, Batch) : ("</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">width</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">height</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#accc3b8fde7c3ba545f41521e46f42e4c">fm</a> << <span class="stringliteral">","</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad1793c1a8dd3db1a8c4e2d76eadf0036">batch</a> << <span class="stringliteral">")"</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  << std::endl;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  os << <span class="stringliteral">"Number of outputs : "</span> << common_params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a901823eca780b42971295d670ca93a89">fully_connected</a>.<a class="code" href="structarm__compute_1_1utils_1_1_fully_connected_params.xhtml#a8473cdd04f05bb326d412a61e32c77cb">num_outputs</a> << std::endl;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> <span class="comment"></span></div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  FullyConnectedOptions(<span class="keyword">const</span> FullyConnectedOptions &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="comment"> /** Prevent instances of this class from being copied (As this class contains pointers) */</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  FullyConnectedOptions &operator=(<span class="keyword">const</span> FullyConnectedOptions &) = <span class="keyword">delete</span>;<span class="comment"></span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  FullyConnectedOptions(FullyConnectedOptions &&) noexcept(true) = <a class="code" href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">default</a>;<span class="comment"></span></div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="comment"> /** Allow instances of this class to be moved */</span></div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  FullyConnectedOptions &operator=(FullyConnectedOptions &&) noexcept(true) = <a class="code" href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">default</a>;<span class="comment"></span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> <span class="comment"> /** Default destructor */</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  ~FullyConnectedOptions() override = <a class="code" href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">default</a>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> private:</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *width; <span class="comment">/**< Input width */</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *batch; <span class="comment">/**< Input batch */</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">float</span>> *input_scale; <span class="comment">/**< Input Quantization scale from QASSYMM8 */</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *input_offset; <span class="comment">/**< Input Quantization offset from QASSYMM8 */</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">float</span>> *weights_scale; <span class="comment">/**< Weights Quantization scale from QASSYMM8 */</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *weights_offset; <span class="comment">/**< Weights Quantization offset from QASSYMM8 */</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">float</span>> *output_scale; <span class="comment">/**< Output Quantization scale from QASSYMM8 */</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *output_offset; <span class="comment">/**< Output Quantization offset from QASSYMM8 */</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><<span class="keywordtype">int</span>> *num_outputs; <span class="comment">/**< Number of outputs. */</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *input_range_low; <span class="comment">/**< Lower bound for input randomization range */</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *input_range_high; <span class="comment">/**< Upper bound for input randomization range */</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *weights_range_low; <span class="comment">/**< Lower bound for weights randomization range */</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarm__compute_1_1utils_1_1_simple_option.xhtml">SimpleOption</a><uint64_t> *weights_range_high; <span class="comment">/**< Upper bound for weights randomization range */</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> };</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="comment"></span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment">/** Fully Connected Layer Graph example validation accessor class */</span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> template <typename D></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> class FullyConnectedVerifyAccessor final : public <a class="code" href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml">VerifyAccessor</a><D></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keyword">using</span> BaseClassType = <a class="code" href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml">VerifyAccessor<D></a>;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">using</span> BaseClassType::BaseClassType;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keyword">using</span> BaseClassType::_params;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">using</span> TBias = <span class="keyword">typename</span> <a class="code" href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">std::conditional<std::is_same<typename std::decay<D>::type</a>, uint8_t>::value, int32_t, D><a class="code" href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">::type</a>;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Inherited methods overriden:</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordtype">void</span> create_tensors(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor<D></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor<D></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor<TBias></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor)<span class="keyword"> override</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">// Calculate Tensor shapes for verification</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a> = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(_params.input.width, _params.input.height, _params.input.fm, _params.input.batch);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_descriptor = <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, _params.data_type, _params.input.quant_info);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> weights_descriptor = FullyConnectedLayerNode::compute_weights_descriptor(input_descriptor,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  _params.fully_connected.num_outputs,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  _params.fully_connected.info,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  _params.weights.quant_info);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> output_desciptor = FullyConnectedLayerNode::compute_output_descriptor(input_descriptor, _params.fully_connected.num_outputs, _params.output.quant_info);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">//Create Input tensors</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a> = <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<D></a> { input_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>, _params.data_type, 1, input_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> };</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a> = <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<D></a> { weights_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>, _params.data_type, 1, weights_descriptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a> };</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a> = <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor<TBias></a> { <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(tensor.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">x</a>()), _params.data_type, 1, _params.input.quant_info };</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>(<a class="code" href="classarm__compute_1_1_i_tensor.xhtml">ITensor</a> &tensor)<span class="keyword"> override</span></div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a>(tensor);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a> = <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>(_params.input.width, _params.input.height, _params.input.fm, _params.input.batch);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> input_descriptor = <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, _params.data_type, _params.input.quant_info);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keyword">const</span> <a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">TensorDescriptor</a> output_desciptor = FullyConnectedLayerNode::compute_output_descriptor(input_descriptor, _params.fully_connected.num_outputs, _params.output.quant_info);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">return</span> output_desciptor.<a class="code" href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">shape</a>;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor<D></a> reference(<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor<D></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor<D></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor<TBias></a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a> &<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>)<span class="keyword"> override</span></div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keywordflow">return</span> reference::fully_connected_layer<D>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">src</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">weights</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>, _params.output.quant_info);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordtype">float</span> relative_tolerance()<span class="keyword"> override</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">const</span> std::map<arm_compute::graph::Target, const std::map<DataType, float>> relative_tolerance</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  {</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">arm_compute::graph::Target::CL</a>,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.2f },</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.05f },</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1.0f }</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  },</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  {</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">arm_compute::graph::Target::NEON</a>,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.2f },</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.01f },</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1.0f }</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  };</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keywordflow">return</span> relative_tolerance.at(_params.common_params.target).at(_params.data_type);</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  }</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordtype">float</span> absolute_tolerance()<span class="keyword"> override</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">const</span> std::map<Target, const std::map<DataType, float>> absolute_tolerance</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  {</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  Target::CL,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.0f },</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.0001f },</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1.0f }</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  },</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  {</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  Target::NEON,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.3f },</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.1f },</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 1.0f }</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  };</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> absolute_tolerance.at(_params.common_params.target).at(_params.data_type);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  }</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordtype">float</span> tolerance_number()<span class="keyword"> override</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">const</span> std::map<Target, const std::map<DataType, float>> absolute_tolerance</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  Target::CL,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.07f },</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.07f },</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 0.0f }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  },</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  Target::NEON,</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  { { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">DataType::F16</a>, 0.07f },</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  { <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>, 0.0f },</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  { <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">DataType::QASYMM8</a>, 0.0f }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  };</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> absolute_tolerance.at(_params.common_params.target).at(_params.data_type);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> };</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> } <span class="comment">// namespace</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword">class </span>GraphFullyConnectedValidateExample final : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml">GraphValidateExample</a><FullyConnectedLayer, FullyConnectedOptions, FullyConnectedVerifyAccessor></div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span> {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keyword">using</span> <a class="code" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml#a07594d6d567cdd219788762307f60941">GraphValidateExample::graph</a>;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  GraphFullyConnectedValidateExample()</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  : <a class="code" href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml">GraphValidateExample</a>(<span class="stringliteral">"Fully_connected Graph example"</span>)</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a> GraphFunctionLayer(<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml">ExampleParams</a> &params)<span class="keyword"> override</span></div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="keyword"> </span>{</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> lower = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> upper = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">input</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> weights_lower = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">range_low</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a> weights_upper = <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">range_high</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">data_type</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">FullyConnectedLayer</a>(params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a901823eca780b42971295d670ca93a89">fully_connected</a>.<a class="code" href="structarm__compute_1_1utils_1_1_fully_connected_params.xhtml#a8473cdd04f05bb326d412a61e32c77cb">num_outputs</a>,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">get_random_accessor</a>(weights_lower, weights_upper, 1),</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">get_random_accessor</a>(lower, upper, 2),</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  params.<a class="code" href="structarm__compute_1_1utils_1_1_example_params.xhtml#a901823eca780b42971295d670ca93a89">fully_connected</a>.<a class="code" href="structarm__compute_1_1utils_1_1_fully_connected_params.xhtml#a52743cedeb270ec4767fd8cccdd1adfd">info</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">weights</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>, params.<a class="code" href="structarm__compute_1_1utils_1_1_common_params.xhtml#ab6692d047db2f0c872e4dfc55f958533">output</a>.<a class="code" href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">quant_info</a>);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  }</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> };</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="comment"></span></div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="comment">/** Main program for Graph fully_connected test</span></div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="comment"> *</span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="comment"> * @param[in] argc Number of arguments</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="comment"> * @param[in] argv Arguments ( Input dimensions [width, batch]</span></div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="comment"> * Fully connected [num_outputs,type]</span></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="comment"> * Verification[tolerance_number,absolute_tolerance,relative_tolerance] )</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="comment"> *</span></div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="comment"> */</span></div><div class="line"><a name="l00312"></a><span class="lineno"><a class="line" href="graph__fully__connected_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627"> 312</a></span> <span class="keywordtype">int</span> <a class="code" href="graph__fully__connected_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> arm_compute::utils::run_example<GraphFullyConnectedValidateExample>(argc, argv);</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span> }</div><div class="ttc" id="_accessor_8h_xhtml"><div class="ttname"><a href="_accessor_8h.xhtml">Accessor.h</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a1fcd64682b37ed3c2098d0094ce788d8"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">arm_compute::graph::TensorDescriptor::shape</a></div><div class="ttdeci">TensorShape shape</div><div class="ttdoc">Tensor shape.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00109">TensorDescriptor.h:109</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_aca3dcdcaa91edc6ede106e9d4454925b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#aca3dcdcaa91edc6ede106e9d4454925b">arm_compute::utils::CommonParams::input</a></div><div class="ttdeci">TensorParams input</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00138">graph_validate_utils.h:138</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35dacaf162e9233294cadf62d2a71a14ca09">arm_compute::graph::Target::NEON</a></div><div class="ttdoc">NEON capable target device.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format.</div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_ad1793c1a8dd3db1a8c4e2d76eadf0036"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad1793c1a8dd3db1a8c4e2d76eadf0036">arm_compute::utils::TensorParams::batch</a></div><div class="ttdeci">int batch</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00111">graph_validate_utils.h:111</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="_toolchain_support_8h_xhtml"><div class="ttname"><a href="_toolchain_support_8h.xhtml">ToolchainSupport.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test.xhtml">arm_compute::test</a></div><div class="ttdef"><b>Definition:</b> <a href="02__tests_8dox_source.xhtml#l00026">02_tests.dox:26</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml">arm_compute::graph::TensorDescriptor</a></div><div class="ttdoc">Tensor metadata class.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00038">TensorDescriptor.h:38</a></div></div> |
| <div class="ttc" id="utils_2_utils_8h_xhtml"><div class="ttname"><a href="utils_2_utils_8h.xhtml">Utils.h</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_framework_params_xhtml_a4f987a98d3e1221916748962e45399fe"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a4f987a98d3e1221916748962e45399fe">arm_compute::utils::FrameworkParams::threads</a></div><div class="ttdeci">int threads</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00130">graph_validate_utils.h:130</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_common_graph_validate_options_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_common_graph_validate_options.xhtml">arm_compute::utils::CommonGraphValidateOptions</a></div><div class="ttdoc">CommonGraphValidateOptions command line options used to configure the graph examples.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00227">graph_validate_utils.h:227</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_ad12fc34ce789bce6c8a05d8a17138534"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#ad12fc34ce789bce6c8a05d8a17138534">arm_compute::utils::TensorParams::height</a></div><div class="ttdeci">int height</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00109">graph_validate_utils.h:109</a></div></div> |
| <div class="ttc" id="_graph_8h_xhtml"><div class="ttname"><a href="_graph_8h.xhtml">graph.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_command_line_parser_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_command_line_parser.xhtml">arm_compute::utils::CommandLineParser</a></div><div class="ttdoc">Class to parse command line arguments.</div><div class="ttdef"><b>Definition:</b> <a href="_command_line_parser_8h_source.xhtml#l00044">CommandLineParser.h:44</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml">arm_compute::ITensor</a></div><div class="ttdoc">Interface for NEON tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00036">ITensor.h:36</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_framework_params_xhtml_a29d9bc83bfba2fba21af47e575569dde"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_framework_params.xhtml#a29d9bc83bfba2fba21af47e575569dde">arm_compute::utils::FrameworkParams::target</a></div><div class="ttdeci">arm_compute::graph::Target target</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00131">graph_validate_utils.h:131</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae59e3cf27216b7361c71cbd2830ec4c2"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">arm_compute::test::validation::input_shape</a></div><div class="ttdeci">input_shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml_ab7e905c7bfd2944e67bd069a3de3e7a2"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml#ab7e905c7bfd2944e67bd069a3de3e7a2">arm_compute::graph_utils::get_random_accessor</a></div><div class="ttdeci">std::unique_ptr< graph::ITensorAccessor > get_random_accessor(PixelValue lower, PixelValue upper, const std::random_device::result_type seed=0)</div><div class="ttdoc">Generates appropriate random accessor.</div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00460">GraphUtils.h:460</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a56d8353718e6fdc78b8d69078a2cdb94">arm_compute::Format::F16</a></div><div class="ttdoc">1 channel, 1 F16 per channel</div></div> |
| <div class="ttc" id="_fully_connected_layer_8h_xhtml"><div class="ttname"><a href="_fully_connected_layer_8h.xhtml">FullyConnectedLayer.h</a></div></div> |
| <div class="ttc" id="_validate_example_8h_xhtml"><div class="ttname"><a href="_validate_example_8h.xhtml">ValidateExample.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_aa87f8fc26981b0f3228a78c83b95b802"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#aa87f8fc26981b0f3228a78c83b95b802">arm_compute::Dimensions::x</a></div><div class="ttdeci">T x() const</div><div class="ttdoc">Alias to access the size of the first dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00081">Dimensions.h:81</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_quantization_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_quantization_info.xhtml">arm_compute::QuantizationInfo</a></div><div class="ttdoc">Quantization information.</div><div class="ttdef"><b>Definition:</b> <a href="_quantization_info_8h_source.xhtml#l00069">QuantizationInfo.h:69</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1graph_1_1_tensor_descriptor_xhtml_a65bc62ff84efcb7e4a410600480a4dc9"><div class="ttname"><a href="structarm__compute_1_1graph_1_1_tensor_descriptor.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">arm_compute::graph::TensorDescriptor::quant_info</a></div><div class="ttdeci">QuantizationInfo quant_info</div><div class="ttdoc">Quantization info.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_descriptor_8h_source.xhtml#l00112">TensorDescriptor.h:112</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_a6e1311c23c64b1a05475e5de91d75429"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a6e1311c23c64b1a05475e5de91d75429">arm_compute::utils::TensorParams::range_low</a></div><div class="ttdeci">uint64_t range_low</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00114">graph_validate_utils.h:114</a></div></div> |
| <div class="ttc" id="namespace_gemm_tuner_xhtml_affb1327b18bf08a379d19eef89cf1ed1"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#affb1327b18bf08a379d19eef89cf1ed1">GemmTuner.default</a></div><div class="ttdeci">default</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00548">GemmTuner.py:548</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_a901f5f80dfec4ef700c14947ca8397c9"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#a901f5f80dfec4ef700c14947ca8397c9">arm_compute::utils::CommonParams::data_type</a></div><div class="ttdeci">arm_compute::DataType data_type</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00143">graph_validate_utils.h:143</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a6dc630a6ae9cc063b3924bcea8dee9d6"><div class="ttname"><a href="_error_8h.xhtml#a6dc630a6ae9cc063b3924bcea8dee9d6">ARM_COMPUTE_UNUSED</a></div><div class="ttdeci">#define ARM_COMPUTE_UNUSED(...)</div><div class="ttdoc">To avoid unused variables warnings.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00152">Error.h:152</a></div></div> |
| <div class="ttc" id="_graph_utils_8h_xhtml"><div class="ttname"><a href="_graph_utils_8h.xhtml">GraphUtils.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6af14462d71aa842202c3e4b272c7ec924">arm_compute::DataType::QASYMM8</a></div><div class="ttdoc">quantized, asymmetric fixed-point 8-bit number unsigned</div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_af0b9179895ca471157ea7edb8f07ef18"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#af0b9179895ca471157ea7edb8f07ef18">arm_compute::utils::TensorParams::range_high</a></div><div class="ttdeci">uint64_t range_high</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00115">graph_validate_utils.h:115</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_example_params_xhtml"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_example_params.xhtml">arm_compute::utils::ExampleParams</a></div><div class="ttdoc">Structure holding all the graph Example parameters.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00177">graph_validate_utils.h:177</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml">arm_compute::graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_topological_sort_8h_source.xhtml#l00033">TopologicalSort.h:33</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00189">ConvolutionLayer.cpp:189</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_fully_connected_params_xhtml_a52743cedeb270ec4767fd8cccdd1adfd"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_fully_connected_params.xhtml#a52743cedeb270ec4767fd8cccdd1adfd">arm_compute::utils::FullyConnectedParams::info</a></div><div class="ttdeci">FullyConnectedLayerInfo info</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00172">graph_validate_utils.h:172</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_accc3b8fde7c3ba545f41521e46f42e4c"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#accc3b8fde7c3ba545f41521e46f42e4c">arm_compute::utils::TensorParams::fm</a></div><div class="ttdeci">int fm</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00110">graph_validate_utils.h:110</a></div></div> |
| <div class="ttc" id="graph__validate__utils_8h_xhtml"><div class="ttname"><a href="graph__validate__utils_8h.xhtml">graph_validate_utils.h</a></div></div> |
| <div class="ttc" id="_common_graph_options_8h_xhtml"><div class="ttname"><a href="_common_graph_options_8h.xhtml">CommonGraphOptions.h</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_a39e23cca85d22b36fc18fbed987af01b"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#a39e23cca85d22b36fc18fbed987af01b">arm_compute::utils::CommonParams::weights</a></div><div class="ttdeci">TensorParams weights</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00139">graph_validate_utils.h:139</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory.</div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_example_params_xhtml_a901823eca780b42971295d670ca93a89"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_example_params.xhtml#a901823eca780b42971295d670ca93a89">arm_compute::utils::ExampleParams::fully_connected</a></div><div class="ttdeci">FullyConnectedParams fully_connected</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00179">graph_validate_utils.h:179</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1utils.xhtml">arm_compute::utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_safe_ops_8h_source.xhtml#l00032">SafeOps.h:32</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_fully_connected_params_xhtml_a8473cdd04f05bb326d412a61e32c77cb"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_fully_connected_params.xhtml#a8473cdd04f05bb326d412a61e32c77cb">arm_compute::utils::FullyConnectedParams::num_outputs</a></div><div class="ttdeci">int num_outputs</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00173">graph_validate_utils.h:173</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_ab6692d047db2f0c872e4dfc55f958533"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#ab6692d047db2f0c872e4dfc55f958533">arm_compute::utils::CommonParams::output</a></div><div class="ttdeci">TensorParams output</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00141">graph_validate_utils.h:141</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph__utils_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph__utils.xhtml">arm_compute::graph_utils</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_utils_8h_source.xhtml#l00044">GraphUtils.h:44</a></div></div> |
| <div class="ttc" id="namespace_gemm_tuner_xhtml_a7aead736a07eaf25623ad7bfa1f0ee2d"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#a7aead736a07eaf25623ad7bfa1f0ee2d">GemmTuner.type</a></div><div class="ttdeci">type</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00527">GemmTuner.py:527</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_verify_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_verify_accessor.xhtml">arm_compute::utils::VerifyAccessor</a></div><div class="ttdoc">Graph example validation accessor class.</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00350">graph_validate_utils.h:350</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer_xhtml"><div class="ttname"><a href="classarm__compute_1_1graph_1_1frontend_1_1_fully_connected_layer.xhtml">arm_compute::graph::frontend::FullyConnectedLayer</a></div><div class="ttdoc">Fully Connected Layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layers_8h_source.xhtml#l00643">Layers.h:643</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a64a08a9fec5aeee8650e7182b6d171d0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a64a08a9fec5aeee8650e7182b6d171d0">arm_compute::test::validation::weights</a></div><div class="ttdeci">CLTensor weights</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00188">ConvolutionLayer.cpp:188</a></div></div> |
| <div class="ttc" id="_validation_8h_xhtml"><div class="ttname"><a href="_validation_8h.xhtml">Validation.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab1806bf0c5a41f674fb9d2dc6af644f5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_a2474a5474cbff19523a51eb1de01cda4"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a2474a5474cbff19523a51eb1de01cda4">arm_compute::utils::TensorParams::width</a></div><div class="ttdeci">int width</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00108">graph_validate_utils.h:108</a></div></div> |
| <div class="ttc" id="namespace_gemm_tuner_xhtml_a90eee7a4677ca8b1ed116364a24367f9"><div class="ttname"><a href="namespace_gemm_tuner.xhtml#a90eee7a4677ca8b1ed116364a24367f9">GemmTuner.parser</a></div><div class="ttdeci">parser</div><div class="ttdef"><b>Definition:</b> <a href="_gemm_tuner_8py_source.xhtml#l00520">GemmTuner.py:520</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_1_1frontend_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1graph_1_1frontend.xhtml">arm_compute::graph::frontend</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_8h_source.xhtml#l00031">ILayer.h:31</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a5f5b6c4337eac9e2e0046ca2304d80dc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a5f5b6c4337eac9e2e0046ca2304d80dc">arm_compute::test::validation::data_type</a></div><div class="ttdeci">data_type</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_arithmetic_addition_8cpp_source.xhtml#l00138">ArithmeticAddition.cpp:138</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_common_params_xhtml_ae5f124b6706064b8b8a507d1b8967ab8"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_common_params.xhtml#ae5f124b6706064b8b8a507d1b8967ab8">arm_compute::utils::CommonParams::common_params</a></div><div class="ttdeci">FrameworkParams common_params</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00137">graph_validate_utils.h:137</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml">arm_compute::test::validation</a></div><div class="ttdef"><b>Definition:</b> <a href="_abs_layer_8cpp_source.xhtml#l00041">AbsLayer.cpp:41</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_graph_validate_example_xhtml_a07594d6d567cdd219788762307f60941"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml#a07594d6d567cdd219788762307f60941">arm_compute::utils::GraphValidateExample::graph</a></div><div class="ttdeci">arm_compute::graph::frontend::Stream graph</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00691">graph_validate_utils.h:691</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1graph_xhtml_a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0"><div class="ttname"><a href="namespacearm__compute_1_1graph.xhtml#a31488d29805a596498c0234ae392d35da5bc574a47246f122016869b32a6aa6f0">arm_compute::graph::Target::CL</a></div><div class="ttdoc">OpenCL capable target device.</div></div> |
| <div class="ttc" id="graph__fully__connected_8cpp_xhtml_a3c04138a5bfe5d72780bb7e82a18e627"><div class="ttname"><a href="graph__fully__connected_8cpp.xhtml#a3c04138a5bfe5d72780bb7e82a18e627">main</a></div><div class="ttdeci">int main(int argc, char **argv)</div><div class="ttdoc">Main program for Graph fully_connected test.</div><div class="ttdef"><b>Definition:</b> <a href="graph__fully__connected_8cpp_source.xhtml#l00312">graph_fully_connected.cpp:312</a></div></div> |
| <div class="ttc" id="_permute_8h_xhtml"><div class="ttname"><a href="_permute_8h.xhtml">Permute.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_simple_option_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_simple_option.xhtml">arm_compute::utils::SimpleOption< int ></a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a989ab3e96426615bb98e04e0235088ca"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a989ab3e96426615bb98e04e0235088ca">arm_compute::test::validation::src</a></div><div class="ttdeci">cast configure & src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_cast_8cpp_source.xhtml#l00169">Cast.cpp:169</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1utils_1_1_graph_validate_example_xhtml"><div class="ttname"><a href="classarm__compute_1_1utils_1_1_graph_validate_example.xhtml">arm_compute::utils::GraphValidateExample</a></div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00629">graph_validate_utils.h:629</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1utils_1_1_tensor_params_xhtml_a65bc62ff84efcb7e4a410600480a4dc9"><div class="ttname"><a href="structarm__compute_1_1utils_1_1_tensor_params.xhtml#a65bc62ff84efcb7e4a410600480a4dc9">arm_compute::utils::TensorParams::quant_info</a></div><div class="ttdeci">QuantizationInfo quant_info</div><div class="ttdef"><b>Definition:</b> <a href="graph__validate__utils_8h_source.xhtml#l00112">graph_validate_utils.h:112</a></div></div> |
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